Holonic and Multi-Agent Systems for Manufacturing

1. Front Matter

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2. Invited Papers

   1. Experience with Holonic and Agent-Based Control Systems and Their Adoption by Industry

      • Kenwood H. Hall, Raymond J. Staron, Pavel Vrba

      Pages 1-10

   2. Fundamental Insights into Holonic Systems Design

      • Paul Valckenaers, Hendrik Van Brussel

      Pages 11-22

   3. A 3D Visualization and Simulation Framework for Intelligent Physical Agents

      • Jose L. Martinez Lastra, Enrique Lopez Torres, Armando W. Colombo

      Pages 23-38

3. Theoretical and Methodological Issues

   1. MAS Methodology for HMS

      • Adriana Giret, Vicente Botti, Soledad Valero

      Pages 39-49

   2. Probabilistic Holons for Efficient Agent-Based Data Mining and Simulation

      • Arndt Schwaiger, Björn Stahmer

      Pages 50-63

   3. An Information-Based Agent

      • John Debenham

      Pages 64-75

4. Algorithms and Technologies

   1. Designing Communication Protocols for Holonic Control Devices Using Elementary Nets

      • James Brusey, Duncan McFarlane

      Pages 76-86

   2. A Proposal of Multi-agent Negotiation Mechanism Based on Dynamic Market Concept for Pareto Optimal Solution

      • Toshiya Kaihara, Susumu Fujii

      Pages 87-98

   3. Integrating Transportation Ontologies Using Semantic Web Languages

      • Marek Obitko, Vladimír Mařík

      Pages 99-110

5. Implementation and Validation Aspects

   1. A Strategy to Implement and Validate Industrial Applications of Holonic Systems

      • Francisco P. Maturana, Raymond J. Staron, Pavel Tichý, Petr Šlechta, Pavel Vrba

      Pages 111-120

   2. Experimental Validation of ADACOR Holonic Control System

      • Paulo Leitão, Francisco Restivo

      Pages 121-132

   3. A Proxy Design Pattern to Support Real-Time Distributed Control System Benchmarking

      • K. Soundararajan, R. W. Brennan

      Pages 133-143

6. Applications

   1. Information Access and Control Operations in Multi-agent System Based Process Automation

      • Ilkka Seilonen, Teppo Pirttioja, Antti Pakonen, Pekka Appelqvist, Aarne Halme, Kari Koskinen

      Pages 144-153

   2. An Initial Automation Object Repository for OOONEIDA

      • R. W. Brennan

      Pages 154-164

   3. Towards Engineering Methods for Reconfiguration of Distributed Real-Time Control Systems Based on the Reference Model of IEC 61499

      • Thomas Strasser, Alois Zoitl, Franz Auinger, Christoph Sünder

      Pages 165-175

   4. Using Radio Frequency Identification in Agent-Based Manufacturing Control Systems

      • Pavel Vrba, Filip Macůrek, Vladimír Mařík

      Pages 176-187

   5. Resolving Scheduling Issues of the London Underground Using a Multi-agent System

      • Rajveer Basra, Kevin Lü, George Rzevski, Petr Skobelev

      Pages 188-196

   6. KARMEN: Multi-agent Monitoring and Notification for Complex Processes

      • Larry Bunch, Maggie Breedy, Jeffrey M. Bradshaw, Marco Carvalho, Niranjan Suri

      Pages 197-206

   7. Simulation of Underwater Surveillance by a Team of Autonomous Robots

      • Milan Rollo, Petr Novák, Pavel Jisl

      Pages 207-220

The challenge faced in today’s manufacturing and business environments is the question of how to satisfy increasingly stringent customer requirements while managing growing system complexity. For example, customers expect high-quality, customizable, low-cost products that can be delivered quickly. The systems that deliver these expectations are by nature distributed, concurrent, and stochastic, and, as a result, increasingly difficult to manage. Unfortunately, the traditional hierarchical, strictly centralized approach to control used in these domains is characteristically inflexible, fragile, and difficult to maintain. These shortcomings have led to the development of a new class of manufacturing and supply-chain decision-making approaches in recent years. Solutions based on these approaches usually explore a set of highly distributed decision-making units that are capable of autonomous operations while cooperating interactively to resolve larger problems. The units, referred to as agents in classical computer science and software engineering, or holons if physically integrated with the manufacturing hardware, interact by exchanging information. These units are motivated by arriving at local solutions as well as collaborating and sharing resources and goals in solving the overall problem in question collectively.

• agent-based manufacturing
• algorithms
• automation
• control systems
• data mining
• distributed computing
• fault-tolerant production control
• holarchies
• intelligent diagnostics
• mulit-agent systems
• multi-agent system
• ontology
• robot
• semantic web
• visualization

• Gerstner Laboratory, Czech Technical University in Prague, Prague 6, Czech Republic

  Vladimír Mařík

• Schulich School of Engineering, University of Calgary, Calgary, Alberta, Canada

  Robert Brennan

• Department of Cybernetics, Czech Technical University in Prague,  

  Michal Pěchouček

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